Top Data Engineer Jobs in Los Angeles, CA
The Security Governance Partner for Cash App Machine Learning and Data Science works to drive security enablement by collaborating with various teams, automating governance functions, and developing security standards. This role involves interpreting and communicating security constraints, monitoring changes in security laws and regulations, and contributing to technical design discussions.
Responsible for all aspects of NBC Sports Next data platform, data integration, and data analytics. Leading improvements of existing data solutions and development of new solutions to address business requirements. Act as a company-wide consultant leveraging existing data structures and business knowledge to solve problems.
Join Restaurant365 as a Sr Data Engineer and be a technical leader in enabling the flow of information and analytics across the company. You will design and develop data objects, pipelines, and control processes, partner with stakeholders to understand their needs, and drive continuous improvements. A deep understanding of data warehousing, data engineering, business intelligence, and analytics is required.
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Lead a data team in managing and analyzing flight test data for Group 5 unmanned aircraft systems at Anduril Industries, a defense technology company focused on transforming military capabilities through advanced technology. Develop data infrastructure, collaborate with cross-functional teams, and drive innovation in high-stakes defense projects.
Build cloud-based AI/ML solutions to transform user experience and workflow efficiency of enterprise services. Collaborate with team to produce quality software and deliver high-quality solutions. Requires a Bachelor's degree and 3+ years of experience in Java.
The Business Intelligence Engineer II at Disney Entertainment & ESPN Technology is responsible for developing visualizations, automating processes, conducting data analysis, and building predictive models to support business decisions. The role entails data engineering, complex data connections, and collaboration with cross-functional teams to provide actionable insights.
Design, implement, and scale critical machine learning components and services to support strategic initiatives at Snap Inc. Responsibilities include building a next-generation training framework, optimizing training performance, developing an AutoML platform, collaborating with teams, advocating for best practices, and providing technical direction.
Seeking an experienced SVP of GTM Operations to lead the go-to-market operations function, specifically focusing on Master Data Management (MDM) deployment globally. Responsible for designing, implementing, and managing processes, tools, and technologies to achieve revenue and margin targets efficiently and effectively.
The Machine Learning Senior Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, and implementing ML Ops. They will collaborate with client teams and global development team to successfully deliver projects and contribute to researching and evaluating the latest architecture patterns and technologies.
Seeking Senior Data Engineer with 5+ years of experience in Data Engineering. Must have expertise in SQL, Python, and building ETL/ELT pipelines on big data platforms. Responsibilities include collaborating on development activities, optimizing solutions, and supporting data environment. Bachelor's degree in Computer Science or related field preferred.
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